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Targeting mitochondrial biogenesis to overcome drug resistance to MAPK inhibitors

Overview of attention for article published in Journal of Clinical Investigation, April 2016
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  • Good Attention Score compared to outputs of the same age (69th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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3 X users
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1 patent

Citations

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218 Dimensions

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144 Mendeley
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Title
Targeting mitochondrial biogenesis to overcome drug resistance to MAPK inhibitors
Published in
Journal of Clinical Investigation, April 2016
DOI 10.1172/jci82661
Pubmed ID
Authors

Gao Zhang, Dennie T. Frederick, Lawrence Wu, Zhi Wei, Clemens Krepler, Satish Srinivasan, Young Chan Chae, Xiaowei Xu, Harry Choi, Elaida Dimwamwa, Omotayo Ope, Batool Shannan, Devraj Basu, Dongmei Zhang, Manti Guha, Min Xiao, Sergio Randell, Katrin Sproesser, Wei Xu, Jephrey Liu, Giorgos C. Karakousis, Lynn M. Schuchter, Tara C. Gangadhar, Ravi K. Amaravadi, Mengnan Gu, Caiyue Xu, Abheek Ghosh, Weiting Xu, Tian Tian, Jie Zhang, Shijie Zha, Qin Liu, Patricia Brafford, Ashani Weeraratna, Michael A. Davies, Jennifer A. Wargo, Narayan G. Avadhani, Yiling Lu, Gordon B. Mills, Dario C. Altieri, Keith T. Flaherty, Meenhard Herlyn

Abstract

Targeting multiple components of the MAPK pathway can prolong the survival of patients with BRAFV600E melanoma. This approach is not curative, as some BRAF-mutated melanoma cells are intrinsically resistant to MAPK inhibitors (MAPKi). At the systemic level, our knowledge of how signaling pathways underlie drug resistance needs to be further expanded. Here, we have shown that intrinsically resistant BRAF-mutated melanoma cells with a low basal level of mitochondrial biogenesis depend on this process to survive MAPKi. Intrinsically resistant cells exploited an integrated stress response, exhibited an increase in mitochondrial DNA content, and required oxidative phosphorylation to meet their bioenergetic needs. We determined that intrinsically resistant cells rely on the genes encoding TFAM, which controls mitochondrial genome replication and transcription, and TRAP1, which regulates mitochondrial protein folding. Therefore, we targeted mitochondrial biogenesis with a mitochondrium-targeted, small-molecule HSP90 inhibitor (Gamitrinib), which eradicated intrinsically resistant cells and augmented the efficacy of MAPKi by inducing mitochondrial dysfunction and inhibiting tumor bioenergetics. A subset of tumor biopsies from patients with disease progression despite MAPKi treatment showed increased mitochondrial biogenesis and tumor bioenergetics. A subset of acquired drug-resistant melanoma cell lines was sensitive to Gamitrinib. Our study establishes mitochondrial biogenesis, coupled with aberrant tumor bioenergetics, as a potential therapy escape mechanism and paves the way for a rationale-based combinatorial strategy to improve the efficacy of MAPKi.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 144 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 144 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 33 23%
Researcher 28 19%
Student > Master 17 12%
Student > Doctoral Student 9 6%
Student > Bachelor 7 5%
Other 18 13%
Unknown 32 22%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 47 33%
Agricultural and Biological Sciences 28 19%
Chemistry 9 6%
Medicine and Dentistry 8 6%
Neuroscience 4 3%
Other 11 8%
Unknown 37 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 13 September 2023.
All research outputs
#7,056,262
of 24,988,543 outputs
Outputs from Journal of Clinical Investigation
#9,110
of 17,023 outputs
Outputs of similar age
#93,000
of 306,640 outputs
Outputs of similar age from Journal of Clinical Investigation
#78
of 119 outputs
Altmetric has tracked 24,988,543 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 17,023 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.6. This one is in the 46th percentile – i.e., 46% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 306,640 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 119 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.